Evidence map›Paper›PMID 42798921›Full record

ArticleACS omega2026

Fermentation Quality Divergence of Alfalfa Silage within the Same Batch: Insights from 16S rRNA Sequencing and Untargeted Metabolomics.

Jialu Li, Lichao He, Yiwei Liu, Gentu Ge, Mingjian Liu, Shuai Du

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jialu LiKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.
Lichao HeKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.
Yiwei LiuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.
Gentu GeKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.
Mingjian LiuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.
Shuai DuKey Laboratory of Forage Cultivation, Processing and High Efficient Utilization, Ministry of Agriculture, China, College of Grassland Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alfalfa silage produced from the same batch of raw material frequently exhibits divergent fermentation quality, yet the microbial and metabolic basis of this divergence remains poorly understood. This study aimed to characterize the differences in bacterial community and metabolite profiles between relatively well- and poorly fermented alfalfa silages within the same batch. A total of 100 laboratory-scale silos of wilted alfalfa were prepared and ensiled for 60 days. Based on the pH value and lactic acid (LA) concentration, 49 silos were classified as the relatively well-fermented group (LPGood), 51 silos as the poorly fermented group (LPBad), and six silos were randomly selected from each group for further analysis. The LPGood group showed significantly (

Identifiers

PMID42798921
PMCPMC13613465

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.